This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which allows both accurate learning of user’s profile and evaluation of the coherency of user’s behaviour during his interaction with the system. Thanks to an online learning algorithm, the novelty detection model is also able to...

This paper introduces an agent-centric approach to handle novelty in the visual recognition domain of handwriting (HWR). An ideal transcription agent would rival or surpass human perception, being able recognize known and new characters image, detect any stylistic changes that may occur within across documents. A key confound is presence novelty, which has continued stymie even best machine lea...

The book offers an approach to information theory that is more general then the by Shannon and presents applications in natural sciences.

In this paper we briefly describe Novelty and Adaptive Novelty, two high-performance, stochastic local search (SLS) algorithms for SAT. Based on the WalkSAT architecture, these algorithms combine search intensification and diversification feautures that lead to good peformance on a broad range of SAT instances. The performance of the Novelty algorithm critically depends on the setting of a soca...